• DocumentCode
    1019811
  • Title

    A Turbo Detection Structure for Uplink Coded MC-CDMA System With Distortion Cancellation Capability

  • Author

    AliHemmati, Ruhallah ; Azmi, Paeiz

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tarbiat Modares Univ., Tehran
  • Volume
    58
  • Issue
    6
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    2703
  • Lastpage
    2712
  • Abstract
    In this paper, a modified turbo detector is proposed, which, by combining a standard turbo detector with an iterative reconstruction method, cancels multiaccess interference (MAI) and clipping distortion in uplink coded multicarrier code-division multiple-access (MC-CDMA) systems. For clipping noise cancellation, signal reconstruction methods use nondistorted samples to reconstruct distorted samples; however, in MC-CDMA systems, the MAI causes these methods to not work properly. On the other hand, because of clipping, MAI-cancellation methods do not work properly. In this paper, we propose a joint iterative MAI and clipping noise-cancellation method, which is composed of a standard turbo detection structure and a clipping error estimator in each iteration. Furthermore, we investigate the convergence of the proposed method. Simulation results show that the proposed method improves the performance of coded MC-CDMA systems in the uplink in the presence of clipping distortion.
  • Keywords
    code division multiple access; interference suppression; iterative methods; signal detection; signal reconstruction; turbo codes; MAI cancellation; clipping error estimator; clipping noise-cancellation method; distortion cancellation capability; iterative signal reconstruction method; multiaccess interference; multicarrier code-division multiple-access system; turbo detection structure; uplink coded MC-CDMA system; Interference suppression; iterative methods; signal reconstruction; turbo detection;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2008.2010451
  • Filename
    4696028